OCR & Text Extraction
Extract usable text from images, screenshots, scanned pages and PDFs with OCR and text tools for copying, searching, editing and reuse.
Image to Text OCR
Extract English text from JPG, PNG and WebP images with OCR in your browser. Copy or download recognized text without uploading the image.
PDF to Text
Extract the existing text layer from a PDF and download plain text. Process PDFs locally in your browser with page-by-page text extraction.
Screenshot to Text
Extract text from screenshots with OCR online for free. Paste or choose a screenshot, recognize English text locally in your browser and copy or download it.
OCR PDF
Make scanned PDF pages searchable with browser-based OCR. Preserve native-text pages, OCR image-only pages and download a searchable PDF locally.
Know when OCR is needed
Text extraction works differently on real document text, screenshots and scanned pages.
A normal digital PDF may already contain selectable text, so direct extraction can be faster and more accurate than OCR. OCR is useful when the words exist only as pixels—for example in a scan, photograph or screenshot. The recognition engine estimates characters from the image, which means the result should be treated as editable text that may need checking rather than a guaranteed transcription.
What improves recognition quality
Sharp, upright text with good contrast is easier to recognize than blurred, skewed or low-resolution material. Small fonts, handwriting, decorative typefaces, complex tables and text over patterned backgrounds can reduce accuracy. If a page is sideways, rotate it before recognition. For screenshots, crop away unrelated interface elements when they interfere with the text area.
Review important extracted text
Names, account numbers, dates, decimal points and similar short strings can be especially costly when one character is wrong. Compare important fields with the source before using extracted text in a form, spreadsheet, contract or data workflow. OCR is excellent for making content searchable and reusable, but high-stakes information still benefits from human verification. If the source contains several languages, unusual symbols or dense tables, compare more of the extracted text before treating it as complete.